Abstract: A multi-scale multi exposure image fusion method based on dynamic range extending is proposed. Fusion goal, composed strategies of global dynamic range, local contrast and color are discussed in detail. Global dynamic range factor is used to measure the global illumination range and guide the intensity fusion；local contrast and color saturation are extracted and used to guide color fusion. Wavelet is used as multi-scale analysis tool. The algorithm is tested using Matlab and compared with existing algorithms. The results show that the algorithm can get wide dynamic range while keeping high entropy.

Key words: multi exposure fusion, dynamic range, wavelet analysis

摘要： 提出一种基于动态范围扩展的多曝光图像多尺度融合方法。讨论融合目标与动态范围分布、细节及颜色的处理策略。在融合规则中提出全局动态范围系数来反映全局照度范围，并指导亮度融合来突出融合结果的动态范围；使用局部对比度和色彩饱和度来反映原始图像的曝光程度，并用于指导色彩融合；使用小波分析作为多尺度融合工具。对算法进行测试并与已有算法的结果进行信息熵和动态范围比较，结果表明该算法对于信息熵和动态范围均有提高。

关键词: 多次曝光图像融合, 动态范围, 小波分析